Pith Number

pith:TAF3CCGF

pith:2018:TAF3CCGFIZKOONNCLXR7K7MNTF

not attested not anchored not stored refs pending

ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks

Ahmed T. Elthakeb, Amir Yazdanbakhsh, FatemehSadat Mireshghallah, Hadi Esmaeilzadeh, Prannoy Pilligundla

arxiv:1811.01704 v4 · 2018-11-05 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{TAF3CCGFIZKOONNCLXR7K7MNTF}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

1 paper in Pith

Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training

Receipt and verification

First computed	2026-07-05T00:55:27.063664Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

980bb108c54654e735a25de3f57d8d99532100663ab8b4c170a8ad6ee11a7afa

Aliases

arxiv: 1811.01704 · arxiv_version: 1811.01704v4 · doi: 10.48550/arxiv.1811.01704 · pith_short_12: TAF3CCGFIZKO · pith_short_16: TAF3CCGFIZKOONNC · pith_short_8: TAF3CCGF

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TAF3CCGFIZKOONNCLXR7K7MNTF \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 980bb108c54654e735a25de3f57d8d99532100663ab8b4c170a8ad6ee11a7afa

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2c1e35c5872026d48f1fc914c8d8a3c5dbfd3ba06a7b1af6018b05f9ba47f561",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-11-05T14:18:06Z",
    "title_canon_sha256": "6552aeec72f8442cd1fceb8fd664ba3aca73e675cb37a98849f8cc934449c442"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1811.01704",
    "kind": "arxiv",
    "version": 4
  }
}